About the role
Who We Are
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
You will
Build and maintain data pipelines to ingest field data (rosbags, sensor logs, telemetry) from our fleet
Convert raw field data into curated, versioned datasets for the perception team and own dataset management - storage, indexing, querying, and vending datasets
Set up training workflows and optimize cloud costs
Build tooling to accelerate perception engineers' workflows - fast data access, reproducible experiments, automated evaluation pipelines
Generate metrics and diagnostics to track dataset health, model performance, and pipeline reliability
You have
Bachelor's or Master's degree in Computer Science, Robotics, Data Engineering, or a related field
Strong Python proficiency and working knowledge of ROS2
Working knowledge of docker and other DevOps tools
Familiarity with cloud storage and compute (AWS - S3, EC2, etc.)
Understanding of ML workflows and dataset versioning
We Prefer
Master's in Computer Science, Robotics, or a related discipline
2+ years of MLOps or data infrastructure experience, ideally in robotics or autonomous systems
Experience with Weights & Biases, rosbag data, and large-scale sensor datasets
Working knowledge of C/C++
Experience supporting perception or ML research teams
Aplyr's read
AeroVect pioneers in drone technology and autonomous systems, attracting talent passionate about cutting-edge aerospace solutions and innovative logistics and surveillance applications.
What's promising
- •AeroVect focuses on advanced drone and autonomous technologies, positioning itself at the forefront of aerospace innovation.
- •The company offers diverse roles, from engineering to marketing, indicating robust growth and varied opportunities.
- •AeroVect's work in logistics and surveillance applications highlights its relevance in critical and emerging markets.
What to watch
- •AeroVect operates in a highly competitive aerospace sector, facing challenges from established industry giants.
- •The niche focus on drones and autonomous systems may limit broader market applicability.
- •Rapid technological changes in the field could render current projects obsolete without continuous innovation.
Why AeroVect
- •AeroVect's specialization in both drone technology and autonomous systems sets it apart from traditional aerospace companies.
- •The company's integration of logistics and surveillance applications showcases a versatile approach to technology deployment.
- •AeroVect's recruitment of roles like Autonomous GSE Operator indicates a hands-on approach to real-world technology testing.
Aplyr’s read is generated by AI from public sources. Was it useful?
About AeroVect
AeroVect is a technology company specializing in advanced aerial solutions, focusing on drone technology and autonomous systems for various applications, including logistics and surveillance.
